Inteligencia Artificial Generativa para Calificar Trabajos Académicos
This paper examines the reliability and validity of generative AI in grading academic assignments. Through a literature review and an empirical study, this paper demonstrates that generative AI platforms are currently not a good choice for grading academic assignments due to their inconsistency and unreliability. The study involved repeatedly submitting 12 different papers with varying levels of proficiency to a generative AI platform, revealing significant inconsistencies in grading outcomes.
Institutions
- Artelia (France) (FR)
Publication Details
- Journal
- Journal of the Association for Information Systems
- Published
- 2025-12-31
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00